2 citations · 2 across the 2 of their papers we have counts for
3 papers
Modern Hopfield Networks meet Encoded Neural Representations -- Addressing Practical Considerations
Satyananda Kashyap, Niharika S. D'Souza, Luyao Shi +3
Content-addressable memories such as Modern Hopfield Networks (MHN) have been studied as mathematical models of auto-association and storage/retrieval in the human declarative memo…
Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion
Ken C. L. Wong, Hongzhi Wang, Etienne E. Vos +3
Global warming leads to the increase in frequency and intensity of climate extremes that cause tremendous loss of lives and property. Accurate long-range climate prediction allows…
Basis Scaling and Double Pruning for Efficient Inference in Network-Based Transfer Learning
Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
Network-based transfer learning allows the reuse of deep learning features with limited data, but the resulting models can be unnecessarily large. Although network pruning can impr…